You can select ‘I Accept’ to consent to these uses or click on ‘Manage preferences’ to review your options and exercise your right to object to ... web servers, detection of the size ...
Abstract: Existing pseudo label generation methods for point weakly supervised object detection are inadequate in low data volume and dense object detection tasks. We consider the generation of weakly ...
Abstract: Open-vocabulary object detection (OVD) is a significant task identifying ... We propose two solutions: Localization Network Enhancement based on Class-Agnostic Pseudo-Labels (LNE-CAPL) and ...
In this repository, we provide a continuously updated collection of popular real-world datasets used for anomaly detection in the literature. Some of the datasets are converted from imbalanced ...
"We propose an object detection system that relies on a multi-region deep convolutional neural network (CNN) that also encodes semantic segmentation-aware features. The resulting CNN-based ...
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